Markdown files¶
Jupyter Book allows you to write your content directly in markdown files. If you’d like to include computational content with these markdown files, use the following directive:
```{execute}
print("Here is some code to execute")
```
When your book is build, the contents of any {execute} blocks will be
executed with your default Jupyter kernel, and their outputs will be displayed
in-line with the rest of your content.
For more information about executing computational content with Jupyter Book, see The MyST-NB documentation.
import numpy as np # Load the library
a = np.linspace(-np.pi, np.pi, 100) # Create even grid from -π to π
b = np.cos(a) # Apply cosine to each element of a
c = np.sin(a) # Apply sin to each element of a
c
array([-1.22464680e-16, -6.34239197e-02, -1.26592454e-01, -1.89251244e-01,
-2.51147987e-01, -3.12033446e-01, -3.71662456e-01, -4.29794912e-01,
-4.86196736e-01, -5.40640817e-01, -5.92907929e-01, -6.42787610e-01,
-6.90079011e-01, -7.34591709e-01, -7.76146464e-01, -8.14575952e-01,
-8.49725430e-01, -8.81453363e-01, -9.09631995e-01, -9.34147860e-01,
-9.54902241e-01, -9.71811568e-01, -9.84807753e-01, -9.93838464e-01,
-9.98867339e-01, -9.99874128e-01, -9.96854776e-01, -9.89821442e-01,
-9.78802446e-01, -9.63842159e-01, -9.45000819e-01, -9.22354294e-01,
-8.95993774e-01, -8.66025404e-01, -8.32569855e-01, -7.95761841e-01,
-7.55749574e-01, -7.12694171e-01, -6.66769001e-01, -6.18158986e-01,
-5.67059864e-01, -5.13677392e-01, -4.58226522e-01, -4.00930535e-01,
-3.42020143e-01, -2.81732557e-01, -2.20310533e-01, -1.58001396e-01,
-9.50560433e-02, -3.17279335e-02, 3.17279335e-02, 9.50560433e-02,
1.58001396e-01, 2.20310533e-01, 2.81732557e-01, 3.42020143e-01,
4.00930535e-01, 4.58226522e-01, 5.13677392e-01, 5.67059864e-01,
6.18158986e-01, 6.66769001e-01, 7.12694171e-01, 7.55749574e-01,
7.95761841e-01, 8.32569855e-01, 8.66025404e-01, 8.95993774e-01,
9.22354294e-01, 9.45000819e-01, 9.63842159e-01, 9.78802446e-01,
9.89821442e-01, 9.96854776e-01, 9.99874128e-01, 9.98867339e-01,
9.93838464e-01, 9.84807753e-01, 9.71811568e-01, 9.54902241e-01,
9.34147860e-01, 9.09631995e-01, 8.81453363e-01, 8.49725430e-01,
8.14575952e-01, 7.76146464e-01, 7.34591709e-01, 6.90079011e-01,
6.42787610e-01, 5.92907929e-01, 5.40640817e-01, 4.86196736e-01,
4.29794912e-01, 3.71662456e-01, 3.12033446e-01, 2.51147987e-01,
1.89251244e-01, 1.26592454e-01, 6.34239197e-02, 1.22464680e-16])
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
interactive_plot
import plotly.graph_objects as go
import numpy as np
# Create figure
fig = go.Figure()
# Add traces, one for each slider step
for step in np.arange(0, 5, 0.1):
fig.add_trace(
go.Scatter(
visible=False,
line=dict(color="#00CED1", width=6),
name="𝜈 = " + str(step),
x=np.arange(0, 10, 0.01),
y=np.sin(step * np.arange(0, 10, 0.01))))
# Make 10th trace visible
fig.data[10].visible = True
# Create and add slider
steps = []
for i in range(len(fig.data)):
step = dict(
method="update",
args=[{"visible": [False] * len(fig.data)},
{"title": "Slider switched to step: " + str(i)}], # layout attribute
)
step["args"][0]["visible"][i] = True # Toggle i'th trace to "visible"
steps.append(step)
sliders = [dict(
active=10,
currentvalue={"prefix": "Frequency: "},
pad={"t": 50},
steps=steps
)]
fig.update_layout(
sliders=sliders
)
fig.show()